Search result for Data science for healthcare specialization Online Courses & Certifications
FollowFilter ![]()
Filter ![]()
Showing 125 courses
By Category ![]()
By Subject![]()
By Language![]()
By Duration![]()
By Price![]()
Get Course Alerts by Email
Advanced Clinical Data Science
by Michael G. Kahn, MD, PhD , Laura K. Wiley, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 4 hours to complete
This course prepares you to deal with advanced clinical data science topics and techniques including temporal and research quality analysis. Introduction: Advanced Clinical Data Science Welcome to Advanced Clinical Data Science Keep Calm and Data Science On Practical Application: Careers in Clinical Data Science Introduction to Careers in Clinical Data Science...
A Crash Course in Data Science
by Jeff Leek, PhD , Brian Caffo, PhD , Roger D. Peng, PhD- 4.5
-
![]()
![]()
![]()
![]()
![]()
Approx. 7 hours to complete
By now you have definitely heard about data science and big data. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. How to describe the role data science plays in various contexts How to describe the structure of a data science project...
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This course will prepare you to complete all parts of the Clinical Data Science Specialization. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. Welcome to the Clinical Data Science Specialization...
Introduction to Big Data
by Ilkay Altintas , Amarnath Gupta- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 17 hours to complete
This course is for those new to data science and interested in understanding why the Big Data Era has come to be. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. Data Science 101 Foundations for Big Data Systems and Programming Programming Models for Big Data...
Collaborative Data Science for Healthcare
by Louis Agha-Mir-Salim , Leo Anthony Celi , Marie-Laure Charpignon , Kenneth Eugene Paik- 0.0
-
![]()
![]()
![]()
![]()
![]()
12 Weeks
Big data is proliferating in diverse forms within the healthcare field, not only because of the adoption of electronic health records, but also because of the growing use of wireless technologies for ambulatory monitoring. This course provides an introductory survey of data science tools in healthcare through several hands-on workshops and exercises....
$49
Introduction to the Tidyverse
by Carrie Wright, PhD , Shannon Ellis, PhD , Stephanie Hicks, PhD , Roger D. Peng, PhD- 0.0
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
This course introduces a powerful set of data science tools known as the Tidyverse. If you are already experienced in data science, the Tidyverse provides a power system for streamlining your workflow in a coherent manner that can easily connect with other data science tools. Rules for Storing Tidy Data The Data Science Life Cycle & Tidyverse Ecosystem...
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
-
![]()
![]()
![]()
![]()
![]()
Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. NOTE: This is the third and final course in the Data Science with Databricks for Data Analysts Coursera specialization. These courses are: Apache Spark for Data Analysts and Data Science Fundamentals for Data Analysts. Data Science Process vs....
Related searches
AI Workflow: Business Priorities and Data Ingestion
by Mark J Grover , Ray Lopez, Ph.D.- 4.3
-
![]()
![]()
![]()
![]()
![]()
Approx. 8 hours to complete
Specifically, the courses in this specialization are meant for practicing data scientists who are knowledgeable about probability, statistics, linear algebra, and Python tooling for data science and machine learning. Know the advantages of carrying out data science using a structured process Explain where data science and data engineering have the most overlap in the AI workflow...
Analyze Datasets and Train ML Models using AutoML
by Antje Barth , Shelbee Eigenbrode , Sireesha Muppala , Chris Fregly- 4.6
-
![]()
![]()
![]()
![]()
![]()
Approx. 14 hours to complete
In the first course of the Practical Data Science Specialization, you will learn foundational concepts for exploratory data analysis (EDA), automated machine learning (AutoML), and text classification algorithms. The Practical Data Science Specialization helps you develop the practical skills to effectively deploy your data science projects and overcome challenges at each step of the ML workflow using Amazon SageMaker....
R Programming Hands-on Specialization for Data Science (Lv1)
by Irfan Elahi- 3.8
-
![]()
![]()
![]()
![]()
![]()
11 hours on-demand video
An in-depth course on R language with real-world Data Science examples to supercharge your R data analysis skills This course will position you to not only apply for Data Science jobs but will also enable you to use R for more challenging industry-grade projects/problems and ultimately it will super-charge your career. Learn how to impute missing values in Data Frames for efficient Data Analysis...
$12.99
